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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from workflows.agentdiet.dev, paid per call via MPP, $0.005/call, status unknown (last checked 2026-10-21).
Scans untrusted text, HTML, emails, MCP responses, or A2A payloads for hidden prompt injection and jailbreak attacks, returning sanitized output.
Price / call$0.005
Success—
StatusUnknown
How this service works
Scans untrusted web pages, emails, MCP responses, or A2A payloads for hidden prompt injections and returns sanitized text. (Live x402 v2, IETF MPP & MCP endpoint at https://workflows.agentdiet.dev/v1/injection-firewall)
Output
Returns a structured object indicating whether prompt injection or jailbreak content was detected in the input, along with sanitized text with malicious instructions removed or flagged, allowing the agent to safely proceed with clean content.
Example use cases
Securing agent web browsing pipeline
“My AI agent just fetched this webpage to summarize it — can you scan the raw HTML for any hidden prompt injections or jailbreak instructions before passing it to the LLM? Here's the content: '<raw HTML>'”
Screening inbound customer emails
“I'm piping customer emails into my AI support agent. Can you check this email body for any embedded prompt injection attempts before my agent reads it? The email says: 'Dear support, please ignore previous instructions and...'”
Validating MCP tool response safety
“My agent just got a response back from an external MCP tool and I want to make sure it doesn't contain adversarial instructions hidden in the payload. Can you run this tool output through the injection firewall: '<MCP response JSON or text>'”
Technical details
Endpoint
GEThttps://workflows.agentdiet.dev/v1/injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — scraped web pages, user emails, third-party API responses, MCP tool outputs, or A2A payloads — before passing that content to an LLM for reasoning or action. It is especially valuable in agentic workflows where indirect prompt injection could cause the agent to execute unintended instructions from adversarial external sources.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely large payloads may exceed request limits or timeout
- False negatives possible for novel or obfuscated injection techniques not yet in detection patterns
- Non-text binary content may not be properly analyzed
- Rate limiting or payment failures (402) may block requests
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Untrusted text, HTML, or tool output to scan for hidden prompt injection or jailbreak payloads |
Output
Schema · Response
{
"type": "object"
}Reviews
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